Scale Nucleus
PerceptiLabs
Aquarium
ML Image Classifier
Pixave
Google Cloud TPUs
PhotoFinder
Inboard
Picsell.ia
Roboflow Annotate
Annotable
Annotate Screen
Labelbox
Hover Me
Geekflare Screenshot API
Labellerr
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At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
PerceptiLabs - A tool to build your machine learning model at warp speed.
Roboflow Annotate - Annotate images with ease. Export to any format.
Aquarium - Improve ML models by improving datasets they’re trained on
Annotable - Ultimate image annotation & markup tool
ML Image Classifier - Quickly train custom machine learning models in your browser
Annotate Screen - Browser based annotation tool.
